Modern city management and monitoring systems cannot achieve their full potential without the wide use of video analytics (VA), which replaces a significant number of personnel and provides a state of total monitoring and management of business processes.

VA eliminates unnecessary time spent on manual video archive review and provides system operators intelligent data in the form of real-time alarms when incidents happen.

Modern VA can perform almost any task, and the list of possibilities is constantly expanding. The following list details a few of its capabilities:

• Track and classify objects, such as vehicles, people, animals, and others.
• Detect various situations and implement behavioral analytics, such as crowd, intrusion, loitering, and others.
• Train the AI engine to look for specific behaviors, such as hand sanitation, falling, fighting, and more.
• Monitor business processes (synchronize video and business processes metadata)
• Recognize license plate numbers of vehicles, railway wagons, containers, and other identification plates.
• Detect and recognize faces

A state-of-the-art VA requires a combination of artificial intelligence (AI), deep learning (DL) technologies, and neural network (NN) algorithms.

The use of traditional VA in real conditions is not effective without the use of advanced and robust AI algorithms, which filter out false alarms and provide operators more intelligent data.

Modern AI solutions allow for the setup and customization of VA by operators using natural human language without the use of complex programming languages.

Modern VA allows not only to accumulate important day-to-day data, but also to provide the ability to predict the behavior of various objects in business processes.

The complexity of modern business systems is constantly growing. Simultaneously, there is a growing demand to monitor a huge number of systems, which is impossible to do without the use of modern VA.

For sophisticated VA solutions, seeking technologies from a single supplier plays an important role, as the efforts of integrating technologies from different vendors is proven to be a cumbersome task and does not always guarantee the ultimate success.

In the modern world, there is a huge array of information being collected in the form of video recordings. Using only the traditional video management systems (VMS) to process and extract insights from the videos becomes ineffective because of their limited capability to identify details within the videos automatically. Therefore, implementing video analytics (VA) for such scenarios makes it possible to identify important events from the video repository and extract additional metadata effectively.

In today's digital era, data is growing rapidly and humans are becoming the bottleneck in modern business management and monitoring systems. In these conditions, it is the use of VA that makes it possible to automatically process a huge amount of information and allow a person to make decisions only where they are required.

Thus, the role of VA in the modern world is important. As without it, it is no longer possible to imagine any effective system without it.